Software Engineer, Database​/Analytics

Staff Software Engineer, Database/Analytics Performance

Google place Sunnyvale, CA, USA

Apply

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience testing, and launching software products.
• 5 years of experience with performance, large-scale systems data analysis, visualization tools, or debugging.
• 3 years of experience with software design and architecture.
• Experience with performance analysis, and computer architecture.

• PhD in Computer Science or a related field with a focus on computer architecture, operating systems, or distributed systems.
• 6 years of experience leading complex, cross-functional projects in performance engineering for planet-scale systems.
• Experience building systems that apply statistical analysis or Machine Learning to automate performance diagnostics, anomaly detection, or tuning.

• Ability to identify and deliver novel, high-impact optimizations through hardware/software co-design.
• Ability to influence and drive technical roadmaps and architectural decisions across multiple engineering organizations.

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile;

the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

In this role, you will help drive improvements in performance, reliability, and efficiency for Google's data pillar applications through cross-stack optimizations spanning multiple layers of the computing stack and leverage learnings and expertise to guide fleet hardware/software optimizations and designs.

You will join a team of experts dedicated to optimizing Google's planet-scale database and analytics infrastructure. You will leverage your expertise in performance, distributed systems, and computer architecture to identify and eliminate critical bottlenecks across the entire stack, from hardware and OS interactions to application logic. You will make a measurable impact on the efficiency and speed of services used by billions.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

The US base salary range for this full-time position is $197,000-$291,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .

• Design, prototype, and…